Article
Computer Science, Information Systems
Adolfo Perrusquia
Summary: This paper proposes a Q-learning algorithm to solve the linear quadratic regulator problem of black box linear systems. The algorithm uses only input and output measurements and constructs a Luenberger observer parametrization to ensure stability and convergence. Simulation studies validate the effectiveness of the proposed approach.
INFORMATION SCIENCES
(2022)
Article
Mathematics
Xiaofen Lv, Jie Xiao, Cheng Yuan
Summary: This article presents a corona-type principle, which is an unexpected extension of the analytical Hilbert's Nullstellensatz to the quadratic Fock-Sobolev spaces on C, based on the Pythagorean Identity and Hormander's L-2-solution of the Cauchy-Riemann's equation.
ELECTRONIC RESEARCH ARCHIVE
(2022)
Article
Automation & Control Systems
Mohamad Norherman Shauqee, Parvathy Rajendran, Nurulasikin Mohd Suhadis
Summary: Controlling a quadcopter is challenging due to its highly nonlinear dynamics and complex aerodynamic effects. This study compared six controllers and found that the proposed PD2-LQR controller significantly improved performance in almost all responses, making it a promising alternative for quadcopter motion control.
Article
Engineering, Electrical & Electronic
Keyvan Yari, Hamed Mojallali, S. Hamid Shahalami
Summary: This article presents a new buck-boost converter with coupled inductors, which has advantages such as low ripple input current, simple control, common ground sharing, low-voltage stress, positive output voltage, and quadratic voltage gain. It is suitable for fuel cell and photovoltaic applications, and the experimental results confirm the mathematical derivation and features of the proposed converter.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Civil
Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Wang, Gang Tao, Yinhai Wang
Summary: This study proposes an adaptive multi-input and multi-output traffic signal control method that can improve network-wide traffic operations and is more computationally feasible than existing centralized signal control methods. The method minimizes traffic delay and incremental changes in control input by considering intersection interactions and using an adaptive linear-quadratic regulator (LQR).
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Automation & Control Systems
Jatin Kumar Pradhan, Arun Ghosh
Summary: This paper focuses on designing MIMO proportional-integral-derivative (PID) control with filtered derivative terms to achieve optimal linear quadratic performance for a class of linear uncertain MIMO systems. The necessary and sufficient condition for the existence of the PID controller is obtained using rank constrained linear matrix inequalities (LMIs). An algorithm is proposed to solve these rank constrained LMIs and find PID gains using an existing penalty-function-based approximation for matrix rank minimization. The proposed approach is demonstrated to be more efficient than existing methods through numerical examples and benchmark tests.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2022)
Article
Automation & Control Systems
Mert Sever, Hakan Yazici
Summary: This paper presents a method for solving the guaranteed cost control problem of continuous, linear time-invariant systems with or without polytopic uncertainties in Reciprocal State Space form using derivative feedback. The stability and performance conditions are derived in terms of Linear Matrix Inequalities. Numerical simulation results demonstrate the superiority of guaranteed cost robust derivative feedback controllers over existing derivative feedback linear quadratic regulator controllers.
INTERNATIONAL JOURNAL OF CONTROL
(2021)
Proceedings Paper
Automation & Control Systems
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
Summary: This study investigates the optimization problem of dynamic output-feedback policies in linear quadratic regulation (dLQR) and proposes the optimal transformation for a given observable stabilizing controller. These results provide insights for designing efficient algorithms for decision-making problems with partially observed information.
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC)
(2022)
Proceedings Paper
Automation & Control Systems
Alessandro Bozzi, Roberto Sacile, Enrico Zero
Summary: This paper introduces a comparison between a decentralized PID controller and a centralized LQT controller for automating the exchange of two inner vehicles in a platoon. The Lomonossoff model is used to represent the longitudinal dynamics of the vehicles. A case study is presented to demonstrate the effectiveness of both controllers on nonlinear and linearized models.
PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (ICINCO)
(2022)